Data Science work includes: Creating data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends in large data sets.
Analysis may be applied to various areas of the business (e.g., Market Economics, Supply Chain, Marketing/Advertising, Scientific Research, etc.)
Researching and applying knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions
Applying and/or implementing Machine Learning (ML) or other Artificial Intelligence (AI) techniques to solve business problems and/or derive actionable business insights
At higher career levels, may conduct scientific research projects with the goal of breaking new ground in data analytics
Responsibilities
- Creating data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends in large data sets
- Positions on this level are fully proficient in executing established standards. Works independently within set frames and follows set course. Has a knowledge base typically acquired from a professional/university degree and approximately 1-2 years of practical professional experience in a particular area. Develops own knowledge, shares best practice and develops relevant/appropriate solutions. Positions at this level are expected to continuously improve the day-to-day activities/processes.
- Can be a formal team leader of more junior co-workers and may set day-to-day operational objectives.
Qualifications
- Knowledge base typically acquired from a professional/university degree
- Approximately 1-2 years of practical skilled experience in a particular area
- Develops own knowledge, shares best practice and develops relevant/appropriate solutions
📌 Data Science Intern (Gurugram)
🏢 TP
📍 Gurugram
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